DocumentCode :
45902
Title :
Sliding Mode Congestion Control for Data Center Ethernet Networks
Author :
Wanchun Jiang ; Fengyuan Ren ; Ran Shu ; Yongwei Wu ; Chuang Lin
Author_Institution :
Dept. of Comput. Sci. & Technol., Central South Univ., Changsha, China
Volume :
64
Issue :
9
fYear :
2015
fDate :
Sept. 1 2015
Firstpage :
2675
Lastpage :
2690
Abstract :
Recently, Ethernet is enhanced as the unified switch fabric of data centers, called data center Ethernet. One of the indispensable enhancements is end-to-end congestion management, and currently quantized congestion notification (QCN) has been ratified as the corresponding standard. However, our experiments show that QCN suffers from large oscillations of the queue length at the bottleneck link such that the buffer is emptied frequently and accordingly the link utilization degrades, with certain system parameters and network configurations. This phenomenon is corresponding to our theoretical analysis result that QCN fails to enter into the sliding mode motion (SMM) pattern with certain system parameters and network configurations. Knowing the drawbacks of QCN and realizing the advantage that congestion management system is insensitive to the changes of parameters and network configurations in the SMM pattern, we present sliding mode congestion control (SMCC), which can enter into the SMM pattern under any conditions. SMCC is simple, stable, fair, has short response time, and can be easily used to replace QCN because both of them follow the framework developed by the IEEE 802.1Qau work group. Experiments on the NetFPGA platform show that SMCC is superior to QCN, especially when traffic pattern and network states are variable.
Keywords :
computer centres; computer network management; local area networks; telecommunication congestion control; telecommunication switching; variable structure systems; IEEE 802.1Qau work group; NetFPGA platform; QCN; SMCC; SMM pattern; congestion management system; data center Ethernet networks; end-to-end congestion management; network configurations; network states; quantized congestion notification; queue length; sliding mode congestion control; sliding mode motion pattern; system parameters; traffic pattern; unified switch fabric; Delays; Differential equations; Fabrics; Mathematical model; Shape; Switches; Trajectory; Data Center Ethernet; Data center ethernet; Quantized Congestion Notification; Sliding Mode Motion; quantized congestion notification; sliding mode motion;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2014.2366733
Filename :
6960822
Link To Document :
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